Recognition of Freight Container Marking Digits Using the Faster-RCNN Algorithm
Abstract
Recognition of Freight Container Marking Digits Using the Faster-RCNN Algorithm
Incoming article date: 15.02.2023This article describes training a neural network to recognize the digits of a freight container number. Due to the lack of a dataset containing a cargo container, training was performed on the Street View House Numbers dataset. Before training the model, the dataset was analyzed and histograms were built that reflect general information about the dataset. The neural network was trained in the Python programming language using the Tensorflow library. The obtained results of assessing the accuracy of the model operation allowed us to conclude that it is possible to use a data set and a neural network to solve the problem of recognizing the numbers of a freight container.
Keywords: machine learning, digit recognition, cargo container, neural network, image classification